A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges

11 May 2023

Papers citing "A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges"

8 / 8 papers shown

Title
Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh V. Chawla FaML 53 0 0 01 May 2025
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 49 3 0 10 Jun 2024
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 35 59 0 20 Aug 2023
Intersectionality and Testimonial Injustice in Medical Records Kenya Andrews Bhuvani Shah Lu Cheng 18 0 0 20 Jun 2023
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens Saad Hassan Matt Huenerfauth Cecilia Ovesdotter Alm 36 38 0 01 Oct 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 77 43 0 21 Sep 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 79 49 0 05 Jan 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019